mosaic (version 0.14)

mean_: Aggregating functions

Description

The mosaic package makes several summary statistic functions (like mean and sd) formula aware.

Usage

mean_(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
mean(x, ...)
median(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
range(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
sd(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
max(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
min(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
sum(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
IQR(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
fivenum(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
iqr(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
prod(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
sum(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
favstats(x, ..., data = NULL, groups = NULL, na.rm = TRUE)
quantile(x, ..., data = NULL, groups = NULL, na.rm = getOption("na.rm", FALSE))
var(x, y = NULL, na.rm = getOption("na.rm", FALSE), ..., data = NULL)
cor(x, y = NULL, ..., data = NULL)
cov(x, y = NULL, ..., data = NULL)

Arguments

x

a numeric vector or a formula

data

a data frame in which to evaluate formulas (or bare names). Note that the default is data=parent.frame(). This makes it convenient to use this function interactively by treating the working envionment as if it were a data frame. But this may not be appropriate for programming uses. When programming, it is best to use an explicit data argument -- ideally supplying a data frame that contains the variables mentioned.

groups

a grouping variable, typically a name of a variable in data

na.rm

a logical indicating whether NAs should be removed before computing

y

a numeric vector or a formula

...

additional arguments

Note

Earlier versions of these functions supported a "bare name + data frame" interface. This functionality has been removed since it was (a) ambiguous in some cases, (b) unnecessary, and (c) difficult to maintain.

Details

Many of these functions mask core R functions to provide an additional formula interface. Old behavior should be unchanged. But if the first argument is a formula, that formula, together with data are used to generate the numeric vector(s) to be summarized. Formulas of the shape x ~ a or ~ x | a can be used to produce summaries of x for each subsect defined by a. Two-way aggregation can be acheived using formulas of the form x ~ a + b or x ~ a | b. See the examples.

Examples

mean(HELPrct$age)
mean( ~ age, data=HELPrct)
mean(age ~ shuffle(sex), data=HELPrct)
mean(age ~ shuffle(sex), data=HELPrct, .format="table")
# wrap in data.frame() to auto-convert awkward variable names
data.frame(mean(age ~ shuffle(sex), data=HELPrct, .format="table"))
mean(age ~ sex + substance, data=HELPrct)
mean( ~ age | sex + substance, data=HELPrct)
mean( ~ sqrt(age), data=HELPrct)
sum( ~ age, data=HELPrct)
sd(HELPrct$age)
sd( ~ age, data=HELPrct)
sd(age ~ sex + substance, data=HELPrct)
var(HELPrct$age)
var( ~ age, data=HELPrct)
var(age ~ sex + substance, data=HELPrct)
IQR(width ~ sex, data=KidsFeet)
iqr(width ~ sex, data=KidsFeet)
favstats(width ~ sex, data = KidsFeet)

cor(length ~ width, data = KidsFeet)
cov (length ~ width, data = KidsFeet)